TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy

Yu, H.F., Ho, C.H., Arunachalam, P., Somaiya, M., Lin, C.J.: Product title classification versus text classification. Csie. Ntu. Edu. Tw pp. 1–25 (2012)

2012

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Frome, A., Corrado, G.S., Shlens, J., Bengio, S., Dean, J., Ranzato, M., Mikolov, T.: Devise: A deep visual-semantic embedding model. In: Advances in neural information processing systems. pp. 2121–2129 (2013)

2013

Earlier work this paper cites.

Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2. p. 3111–3119. NIPS’13, Curran Associates Inc., Red Hook, NY, USA (2013)

2013

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Pennington, J., Socher, R., Manning, C.: Glove: Global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 1532–1543. Association for Computational Linguistics, Doha, Qatar (Oct 2014)

2014

Earlier work this paper cites.

Kozareva, Z.: Everyone likes shopping! multi-class product categorization for e-commerce. In: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 1329–1333 (2015)

2015

Earlier work this paper cites.

Pagliardini, M., Gupta, P., Jaggi, M.: Unsupervised learning of sentence embeddings using compositional n-gram features. arXiv preprint arXiv:1703.02507 (2017)

Original

2017

Earlier work this paper cites.

Snell, J., Swersky, K., Zemel, R.: Prototypical networks for few-shot learning. In: Advances in neural information processing systems. pp. 4077–4087 (2017)

2017

Earlier work this paper cites.

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. In: Advances in neural information processing systems. pp. 5998–6008 (2017)

2017

Cited alongside, same era.

Cer, D., Yang, Y., Kong, S.y., Hua, N., Limtiaco, N., St. John, R., Constant, N., Guajardo-Cespedes, M., Yuan, S., Tar, C., Strope, B., Kurzweil, R.: Universal sentence encoder for English. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. pp. 169–174. Association for Computational Linguistics, Brussels, Belgium (Nov 2018)

2018

Cited alongside, same era.

Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs/1810.04805

Original

2018

Cited alongside, same era.

Reimers, N., Gurevych, I.: Sentence-BERT: Sentence embeddings using Siamese BERT-networks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, Hong Kong, China (Nov 2019)

2019

Later among the works it cites.

Beltagy, I., Peters, M.E., Cohan, A.: Longformer: The long-document transformer. arXiv preprint arXiv:2004.05150 (2020)

Original

2020

Later among the works it cites.

Lu, W., Jiao, J., Zhang, R.: Twinbert: Distilling knowledge to twin-structured compressed bert models for large-scale retrieval. p. 2645–2652. CIKM ’20, Association for Computing Machinery, New York, NY, USA (2020)

2020

Later among the works it cites.

Tan, L., Li, M.Y., Kok, S.: E-commerce product categorization via machine translation. ACM Trans. Manage. Inf. Syst. 11

2020

Later among the works it cites.